TY  - THES
N1  - Pembimbing: Dr. H. Darmawan S.Pd.,M.AB., CFRM
ID  - digilib60682
UR  - https://digilib.uin-suka.ac.id/id/eprint/60682/
A1  - Lestari Etika Suci, NIM.: 21208011006
Y1  - 2023/07/10/
N2  - Company risks can come from internal and external companies. One of the risks
faced by companies is financial distress. This study aims to look at the accuracy
and ability of the Zmijewski, Grover, and Ohlson models in predicting financial
distress in the ISSI Indexed Property, Real Estate, and Building Construction
sectors. The sampling technique used in this study was purposive sampling
technique resulting in a sample of 24 companies in the Property, Real Estate, and
Building Construction sectors for 10 years. The data was processed using Eviews
version 10 using logistic regression test data analysis techniques. The results of the
study state that the three models can predict company financial distress and the
most accurate model in predicting financial distress is aimed at the Grover model,
followed by the Ohlson model, and finally the Zmijewski model.
PB  - UIN SUNAN KALIJAGA YOGYAKARTA
KW  - Financial distress
KW  -  Model Zmijewski
KW  -  Model Grover
KW  -  Model Ohlson
M1  - masters
TI  - KOMPARASI MODEL PREDIKSI FINANCIAL DISTRESS ZMIJEWSKI, GROVER DAN OHLSON PADA SECTOR PROPERTY, REAL ESTATE AND BUILDING CONSTRUCTION YANG TERINDEKS ISSI TAHUN 2013-2022
AV  - restricted
EP  - 177
ER  -